Replay Attack Detection Based on Spatial and Spectral Features of Stereo Signal

• Item type: Journal(1)
• 公開日: 2021-03-15
• タイトル: Replay Attack Detection Based on Spatial and Spectral Features of Stereo Signal
• タイトル / 言語: en
• タイトル: Replay Attack Detection Based on Spatial and Spectral Features of Stereo Signal
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文] automatic speaker verification, replay attack, spoofing countermeasure, generalized cross-correlation
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Tokyo Metropolitan University
• 著者所属: Tokyo Metropolitan University
• 著者所属: Tokyo Metropolitan University
• 著者所属: Tokyo Metropolitan University
• 著者所属(英): en
• 著者所属(英): Tokyo Metropolitan University
• 著者所属(英): en
• 著者所属(英): Tokyo Metropolitan University
• 著者所属(英): en
• 著者所属(英): Tokyo Metropolitan University
• 著者所属(英): en
• 著者所属(英): Tokyo Metropolitan University
• 著者名: Ryoya, Yaguchi; Sayaka, Shiota; Nobutaka, Ono; Hitoshi, Kiya
• 著者名(英): Ryoya, Yaguchi; Sayaka, Shiota; Nobutaka, Ono; Hitoshi, Kiya
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: In this paper, we propose a replay attack detection (RAD) method that uses spatial and spectral features of a stereo signal. To distinguish genuine and replayed utterance, we focus on non-speech segments, in which a human does not emit sound, but a loudspeaker for replay attack might emit some recorded noise or its electromagnetic noise. The generalized cross-correlation (GCC) based spatial features capture this difference. To improve the robustness against the variety of recording environments, we combine the spatial features with spectral features. In particular, we fuse the output scores of GCC-based and spectral feature-based methods. In experiments, we confirm the effectiveness of the combination of spatial and spectral features.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.29(2021) (online); DOI http://dx.doi.org/10.2197/ipsjjip.29.275; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: In this paper, we propose a replay attack detection (RAD) method that uses spatial and spectral features of a stereo signal. To distinguish genuine and replayed utterance, we focus on non-speech segments, in which a human does not emit sound, but a loudspeaker for replay attack might emit some recorded noise or its electromagnetic noise. The generalized cross-correlation (GCC) based spatial features capture this difference. To improve the robustness against the variety of recording environments, we combine the spatial features with spectral features. In particular, we fuse the output scores of GCC-based and spectral feature-based methods. In experiments, we confirm the effectiveness of the combination of spatial and spectral features.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.29(2021) (online); DOI http://dx.doi.org/10.2197/ipsjjip.29.275; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 62, 号 3, 発行日 2021-03-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764